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fitlandr  

Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data
View on CRAN: Click here


Download and install fitlandr package within the R console
Install from CRAN:
install.packages("fitlandr")

Install from Github:
library("remotes")
install_github("cran/fitlandr")

Install by package version:
library("remotes")
install_version("fitlandr", "0.1.0")



Attach the package and use:
library("fitlandr")
Maintained by
Jingmeng Cui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-10
Latest Update: 2023-02-10
Description:
A toolbox for estimating vector fields from intensive longitudinal data, and construct potential landscapes thereafter. The vector fields can be estimated with two nonparametric methods: the Multivariate Vector Field Kernel Estimator (MVKE) by Bandi & Moloche (2018) and the Sparse Vector Field Consensus (SparseVFC) algorithm by Ma et al. (2013) . The potential landscapes can be constructed with a simulation-based approach with the 'simlandr' package (Cui et al., 2021) , or the Bhattacharya et al. (2011) method for path integration .
How to cite:
Jingmeng Cui (2023). fitlandr: Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data. R package version 0.1.0, https://cran.r-project.org/web/packages/fitlandr. Accessed 02 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 0.1.0 (2023-02-10 11:40)
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Complete documentation for fitlandr
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